Key takeaways
- This workflow fits a small business with less than $500 a month for marketing: one focused hour a week in Claude and Perplexity can produce two or three researched blog posts.
- The Perplexity prompt runs a four-part entity analysis for a cornerstone article: an entity gap audit, a co-occurrence map, an entity-focused content brief and a competitor co-occurrence comparison.
- Entities are the people, places, organizations and concepts search engines recognize; Google said in 2020 that its Knowledge Graph held more than 500 billion facts about 5 billion entities.
- Treat the mention counts and proximity rules as a starting checklist, not a formula; Google’s spam policies treat keyword stuffing as spam, and readers come first.
- Have a subject expert check every entity the analysis recommends, and proofread every draft before it goes live.
| Question | Short answer |
|---|---|
| How do you brainstorm blog topics with Claude? | Brainstorm topics in Claude by giving it your business type, your services and the towns you serve, then asking for middle- and bottom-of-funnel ideas sorted by intent. |
| What does this Perplexity prompt do for cornerstone content? | The prompt produces an entity analysis for one article topic in four parts. |
| How do you use the prompt? | Use the prompt by pasting it into Perplexity, replacing the bracketed placeholder on the first line with your article title or topic and working through the results section by section. |
| What is the full prompt? | Copy the text below into Perplexity and replace the bracketed placeholder in the first line. |
| What should you watch out for when using entity-based prompts? | Watch out for treating the output as a formula. |
| How do you turn the entity analysis into an article with Claude? | Turn the analysis into a draft by pasting Perplexity’s entity brief into Claude along with the drafting prompt below and your list of service pages for internal links. |
| How do you proofread and publish the article? | Proofread every draft before you publish, checking facts, names, prices and claims against your own knowledge. |
| How should you share each new post? | Share each new post on your social media accounts and as an update on your Google Business Profile, where posts appear to people who find your business on Google Search and Maps. |
Cornerstone content is the in-depth page you want to rank for your most important topic. This guide walks through a weekly workflow that uses Claude, Anthropic’s AI assistant, to brainstorm and draft, and Perplexity, an AI answer engine that cites its sources, to run the entity research in between. You get the brainstorming prompt, the full entity prompt, the drafting prompt and the limits of each.
Who is this one-hour weekly workflow for?
The workflow is for small businesses with less than $500 a month for digital marketing, where hiring an agency or specialist rarely pays off. One focused hour a week is enough to produce two or three articles. Done consistently, regular posts can bring more search traffic and leads, give you material to share on social media and make your business easier for AI tools such as ChatGPT, Google Gemini and Perplexity to find and cite. None of that is guaranteed, and results build over months.
A few ground rules before you start:
- This is not a substitute for a full digital marketing strategy. It is a better use of a small budget than paying for low-quality work that can hurt your brand.
- Replace any text inside square brackets in the prompts with your own details.
- Edit anything the AI writes, and write any quotes yourself so they reflect what you actually think.
How do you brainstorm blog topics with Claude?
Brainstorm topics in Claude by giving it your business type, your services and the towns you serve, then asking for middle- and bottom-of-funnel ideas sorted by intent. Middle-of-funnel (MOFU) and bottom-of-funnel (BOFU) topics reach people comparing options or ready to buy, which tends to bring better leads than broad informational posts.
Brainstorming Prompt: - I need blog article ideas for a [replace this with your company type] called [replace this with your company name]. - For each of the following services, please create 5 blog article ideas that target [replace this with the local city or town you want to target] areas. --[List your services] - Target MOFU and BOFU topics (this helps focus on higher intent topics and less on generalized topics) - Organize them by intent, for example Evaluation & Consideration and Decision & Conversion - [PROCESS / EXPECTATIONS] [DECISION SUPPORT] - Don't just add the city and the service, make it unique and use the city as a secondary target. - Output it using the structure below. - For intent (please classify it as; informational, commercial, transactional, or navigational) Service: Article Title: Intent:
What does this Perplexity prompt do for cornerstone content?
The prompt produces an entity analysis for one article topic in four parts. An entity is a distinct, recognizable thing, such as a person, organization, product, place or concept, and search engines use entities to understand what a page is about and how its subjects relate. Google described the scale of this in its 2020 Knowledge Graph explainer, which put the graph at more than 500 billion facts about 5 billion entities.
The four parts of the analysis:
- An entity gap audit that compares the entities your content uses with those that top-ranking pages and Google’s Knowledge Graph associate with the topic.
- A semantic content map showing which terms and entities tend to appear together in strong content on the topic.
- An entity-focused content brief that tells the writer which entities to include, where and roughly how often.
- A competitor co-occurrence comparison that shows entity pairings competitors cover, gaps they share and openings nobody has filled.
How do you use the prompt?
Use the prompt by pasting it into Perplexity, replacing the bracketed placeholder on the first line with your article title or topic and working through the results section by section. The bracketed items inside the brief template are fields for Perplexity to fill in, so leave those as they are.
Four steps to get useful output:
- Name the topic precisely. “Commercial roof coatings for flat roofs” gives a far sharper analysis than “roofing.”
- Run one section at a time if answers get thin. Long prompts can produce shallow output, and asking for each numbered part separately usually returns more detail.
- Open the cited sources. Perplexity links its sources, so check that recommended entities come from credible pages rather than low-quality ones.
- Turn the brief into an outline. Use the entity brief to plan headings and sections, then write for readers in plain language.
What is the full prompt?
Copy the text below into Perplexity and replace the bracketed placeholder in the first line.
Based on [input article title] please do an entity analysis by following the instructions below. Detailed Instructions for Entity-Based SEO Techniques 1. Comprehensive Content Audit Identifying Entity Association Gaps Objective: Find where your content fails to connect relevant entities that search engines expect to see together. Step-by-Step Process A. Build Your Entity Inventory 1. Export all URLs from your site (use Screaming Frog, Sitebulb, or your CMS) 2. For each core topic page, list the primary entity (the main subject) 3. Use Google's Knowledge Graph API or manually check Google's Knowledge Panel for your primary entities to identify what Google considers related entities B. Extract Current Entity Usage 1. Run your content through an NLP tool (options include Google's Natural Language API or TextRazor) 2. Export the entities identified in each piece of content 3. Create a spreadsheet with columns: URL | Primary Entity | Secondary Entities Found | Entity Categories C. Identify Expected Entity Associations 1. For each primary entity, research what related entities should appear: - Search your primary keyword and analyze the top 10 results - Use tools like Surfer SEO, Clearscope, or MarketMuse to extract entities from top-ranking content - Check Wikipedia articles for your topic-note linked entities - Review Google's "People also ask" and related searches 2. Create an "expected entity map" for each topic showing: - Core entity - Required supporting entities (appear in 80%+ of top results) - Recommended entities (appear in 50-80%) - Differentiating entities (appear in fewer results but add depth) D. Gap Analysis 1. Compare your extracted entities against expected entity maps 2. Flag gaps in three categories: - Critical gaps: Required entities completely missing - Depth gaps: Entities mentioned but not developed - Context gaps: Entities present but not properly associated with the primary entity E. Document Findings Create an audit report with: - URL-by-URL gap analysis - Priority score (based on page importance x gap severity) - Specific entities to add per page 2. Semantic Content Mapping with Targeted Co-occurrence Requirements Objective: Create a structured map showing which terms and entities must appear together, and how often. Step-by-Step Process A. Define Your Semantic Core 1. Identify your pillar topics (5-10 main themes your site covers) 2. For each pillar, list: - Primary keyword/entity - Semantic variants (synonyms, related phrasings) - Subtopics that branch from it B. Research Co-occurrence Patterns 1. Manual method: - Take top 10 ranking pages for your target keyword - Copy content into a text analysis tool - Identify terms that consistently appear within 50-100 words of your primary keyword - Note the frequency patterns 2. Tool-assisted method: - Use Surfer SEO's content editor to see NLP-based term recommendations - Use MarketMuse to identify topical coverage requirements - Use Clearscope for content grading against co-occurrence patterns C. Build Your Co-occurrence Matrix Create a spreadsheet with: | Primary Entity | Co-occurring Term | Proximity Requirement | Frequency Target | Importance | |----------------|-------------------|----------------------|------------------|------------| | [Your keyword] | [Related term] | Within X sentences | X times per 1000 words | High/Med/Low | D. Create Semantic Clusters 1. Group related co-occurring terms into clusters 2. Map which clusters should appear together in content 3. Define the relationship type between clusters: - Definitional: Terms that define the primary entity - Functional: Terms describing what it does - Contextual: Terms showing where/when/why it's relevant - Comparative: Terms showing alternatives or related concepts E. Set Targeting Requirements For each piece of content, specify: - Mandatory co-occurrences: Must include these term pairings - Density targets: e.g., "mention [entity B] within 2 paragraphs of every [entity A] mention" - Section requirements: e.g., "introductory section must contain [terms X, Y, Z] within 150 words" 3. Entity-Focused Content Briefs with Proximity and Frequency Guidelines Objective: Create actionable briefs that tell writers exactly which entities to include, how often, and where. Content Brief Template & Process A. Header Section CONTENT BRIEF: [Topic] Target URL: [URL] Primary Keyword: [Keyword] Primary Entity: [Entity] Word Count Target: [X words] Content Type: [Guide/Comparison/How-to/etc.] B. Entity Specification Section Create a tiered entity list: Tier 1: Primary Entities (Must Include) | Entity | Minimum Mentions | Maximum Mentions | First Appearance | |--------|------------------|------------------|------------------| | [Entity A] | 8 | 15 | Within first 100 words | | [Entity B] | 5 | 10 | Within first 200 words | Tier 2: Supporting Entities (Should Include) | Entity | Target Mentions | Context for Use | |--------|-----------------|-----------------| | [Entity C] | 3-5 | When discussing [specific aspect] | | [Entity D] | 2-4 | In comparison sections | Tier 3: Contextual Entities (Nice to Have) - [Entity E] - adds depth to [topic area] - [Entity F] - demonstrates expertise in [area] C. Proximity Guidelines Section Define specific co-location requirements: PROXIMITY RULES: 1. [Entity A] + [Entity B]: Must appear within same paragraph at least 3 times 2. [Entity A] + [Entity C]: Must appear within 2 sentences of each other at least twice 3. [Entity D] + [Entity E]: Should appear in same section (within 200 words) SECTION-SPECIFIC REQUIREMENTS: - Introduction (first 150 words): Must contain [Entity A], [Entity B], [Entity F] - Body sections: Each H2 section must reference [Entity A] at least once - Conclusion: Must co-locate [Entity A] with [Entity G] (outcome/benefit entity) D. Frequency Guidelines Section FREQUENCY TARGETS (per 1000 words): - [Entity A]: 8-12 mentions - [Entity B]: 4-6 mentions - [Entity C]: 2-4 mentions - Related terms/variants: 15-20 total mentions DENSITY WARNINGS: - Do not exceed 15 mentions of [Entity A] per 1000 words (keyword stuffing risk) - Vary phrasing: use at least 3 different ways to reference [Entity A] E. Semantic Context Section ENTITY CONTEXT REQUIREMENTS: When mentioning [Entity A], associate it with: - Attributes: [specific descriptors expected] - Actions: [verbs commonly paired with this entity] - Outcomes: [results/benefits to connect] Example patterns to include: - "[Entity A] enables [outcome]" - "[Process] using [Entity A]" - "[Entity A] compared to [Entity B]" F. Structural Requirements CONTENT STRUCTURE: H1: [Must contain Entity A] H2: [Section 1 - must contain Entity A + Entity B] H2: [Section 2 - must contain Entity A + Entity C] H2: [Section 3 - must contain Entity A + Entity D] FAQ Section: Include questions containing [Entity A] with answers containing [supporting entities] 4. Competitor Co-occurrence Analysis Revealing Untapped Opportunities Objective: Discover entity combinations your competitors use that you're missing, and find gaps they haven't filled. Step-by-Step Process A. Select Competitors for Analysis 1. Identify your SERP competitors (who ranks for your target keywords) 2. Identify your business competitors (who competes for your customers) 3. Identify topical authorities (who Google treats as experts in your space) 4. Select 5-10 competitors for deep analysis B. Content Extraction 1. For each competitor, identify their top-performing content: - Use Ahrefs/Semrush to find their highest-traffic pages - Focus on pages ranking for your target keywords 2. Extract the full text content from these pages 3. Organize by topic cluster for comparison C. Entity Extraction & Analysis For each competitor page: 1. Run through NLP entity extraction (Google NL API, TextRazor) 2. Create an entity inventory showing: - All entities mentioned - Frequency of each entity - Entity types (person, organization, concept, etc.) 3. Build a co-occurrence matrix: - Which entities appear together on the same pages? - Which entities appear within close proximity? - What's the frequency pattern for key entity pairs? D. Cross-Competitor Comparison Create a master spreadsheet: | Entity Pair | Competitor 1 | Competitor 2 | Competitor 3 | Your Site | Gap Type | |-------------|--------------|--------------|--------------|-----------|----------| | [A] + [B] | Y (8x) | Y (5x) | Y (10x) | N | Critical | | [A] + [C] | Y (3x) | N | Y (4x) | Y (1x) | Depth | | [A] + [D] | N | N | N | N | Opportunity | E. Identify Three Types of Opportunities 1. Consensus gaps (Critical): - Entity combinations used by 3+ competitors that you lack - These represent expected associations you must address 2. Leader patterns (Fast-follow): - Entity combinations used by the #1-2 ranking competitors - May indicate what Google currently rewards 3. White space opportunities (Differentiation): - Relevant entity combinations NO competitor uses - Research whether these are genuinely valuable associations - Validate with: academic sources, industry reports, Knowledge Graph connections F. Quantify the Opportunity For each gap identified, document: OPPORTUNITY ASSESSMENT: Entity Pair: [Entity A] + [Entity E] Current competitor usage: 4/5 competitors Your current usage: Not present Search volume relevance: [Estimate based on related queries] Implementation difficulty: Low/Medium/High Priority score: [1-10] RECOMMENDATION: Add [Entity E] to pages targeting [Entity A] Target co-occurrence: X times per page Proximity: Within same paragraph as [Entity A] G. Build Your Action Plan Prioritize opportunities by: 1. Quick wins: High-traffic pages missing high-consensus entity pairs 2. Strategic additions: Entity pairs that differentiate you from competitors 3. New content: Topics where competitors have content you lack entirely Tools Summary | Task | Free Options | Paid Options | |------|--------------|--------------| | Entity extraction | Google NL API (free tier), spaCy | TextRazor | | Content analysis | Manual review, TF-IDF tools | Surfer SEO, Clearscope, MarketMuse | | Competitor research | Manual SERP analysis | Ahrefs, Semrush, Sistrix | | Crawling | Screaming Frog (free tier) | Sitebulb, Lumar |
What should you watch out for when using entity-based prompts?
Watch out for treating the output as a formula. The mention counts, proximity rules and density targets in the brief are heuristics drawn from what top pages happen to share, not rules Google publishes. Google’s spam policies describe keyword stuffing as spam, and hitting a mention target at the cost of readable writing defeats the purpose.
AI tools also make mistakes. Perplexity can misread sources, suggest entities that don’t fit your audience or present a competitor’s error as consensus. A subject expert should review every recommended entity before it shapes the article, and the finished piece still needs first-hand experience and original detail that no entity analysis can supply.
How do you turn the entity analysis into an article with Claude?
Turn the analysis into a draft by pasting Perplexity’s entity brief into Claude along with the drafting prompt below and your list of service pages for internal links. Claude outputs the article in plain HTML, which drops formatting you don’t want and pastes cleanly into WordPress.
The prompt refers to a list of overused words and phrases to avoid. You can download Emulent’s overused words spreadsheet and upload it with the prompt.
Prompt: Use the Entity analysis from Step 2 to create the article, following the rules below. - Please create a complete article based on the rules below, but stay focused, and be deliberate with your words so that there are not a lot of filler or fluff. Try to keep it under 2500 words if possible. - Use the internal linking data below to integrate these links within the article - Use descriptive H2/H3 headings written like questions or decision criteria (what AI should pull). - Provide explicit definitions for key terms (especially category jargon) using consistent language across the site. - Do NOT repeat concepts or semantically similar topics within the article. - Please go into detail in each section and make the section lengths consistent. Ensure there are not just a lot of words at the beginning and then by the end of the article the sentences are short and lacking depth. - Make the intro paragraph section concise. - Please write the content in a conversational, friendly tone that engages the reader. - Use active voice and personal pronouns to make it more relatable while maintaining a professional and informative approach. - Please go in-depth into each section to provide more value, even if that means it has fewer sections. - Do not add [numbers] in the article - add a thought leadership / POV quote wrapped in blockquote tags in 3-4 sections from [your name]. - Follow SEO best practices for page hierarchy and header tags - Don't add the content sources in the article. - Please output it in text-based HTML. Don't use or include styles, divs, a header section, or closing body section. - Write at a college-level understanding. - Use list items within most sections and add a bolded title to the list items to explain what they are, but don't count them towards the total word count goal. Don't add them after tables. - Add a tables with data throughout the article to add value to a section's data. - Don't be flippant with your wording - example don't say, "hey there fellow marketer". - Use "We" instead of "I" as it is written from the standpoint of the [your name] or [Business Name] - Don't add the sources to the content - Don't add a case study section. - Add a conclusion paragraph to each that outlines how [Business Name] can help with the topic. Please add a CTA at the end that talks about contacting the [Business Name] if you need help with [the topic of the article]. The topic should be the high level topic and not the title of the article. For example, if the title is "B2B business models to drive growth and revenue in 2025", the main topic that would be included in the CTA would be "B2B marketing". - for any list items please write a header for the list explaining the list is about, and put the header in a strong tag. - For any table, please add a header explaining what the table is about, and put the header in a strong tag - please use the attached spreadsheet. You must strictly avoid every overused construction, word, expression, and punctuation mark listed in this sheet, including the em-dash. For every idea, use one of the suggested replacement strategies from the sheet. - please avoid language like "submitting a request for form at 11pm". That is considered Flippant content. Avoid saying things like "in the ever-changing world of digital marketing" - please use only websites that are based in the United States - Make the conclusion simple and focused, don't just restate what was in the article. Services: When you mention this word the first time, please link to the associated webpage. [Your Service Name] [URL of your service] [Your Service Name] [URL of your service] [Your Service Name] [URL of your service] [Your Service Name] [URL of your service] [Your Service Name] [URL of your service] [Your Service Name] [URL of your service] [Your Service Name] [URL of your service] [Your Service Name] [URL of your service]
How do you proofread and publish the article?
Proofread every draft before you publish, checking facts, names, prices and claims against your own knowledge. AI drafts can contain errors that read smoothly. Tools such as Grammarly help with grammar and sentence structure, but they won’t catch a wrong fact.
To publish, copy the HTML output into your blog post. In WordPress, paste it into the Code editor (the Text tab in the classic editor); other platforms have a similar HTML mode. Preview the post to confirm no raw HTML code shows on the page.
How should you share each new post?
Share each new post on your social media accounts and as an update on your Google Business Profile, where posts appear to people who find your business on Google Search and Maps. Sharing the same week you publish gives the article its first readers while it waits to rank.
How can Emulent help with cornerstone content?
At Emulent, we use entity research as one input to content strategy, alongside search intent, customer questions and expert interviews. If you want help planning or writing cornerstone content that ranks and gets cited by AI answer engines, contact Emulent.